Exploring the dynamic interconnectedness of protective and perpetuating factors of cancer-related fatigue

Abstract

Objective: Approximately 25% of cancer patients suffer from cancer-related fatigue (CRF) after cancer treatment. CRF is a multi-factorial condition affected by several interrelated protective and perpetuating factors. As most studies merely assessed bivariate associations, more insight into the complex relationships among these constructs is needed. We applied the multivariate network approach to gain a better understanding of how patients' fatigue, perpetuating and protective factors are dynamically interconnected. Method: Between February and August 2022, 30 cancer patients filled out a carefully developed ecological momentary assessment questionnaire (EnergyInSight) five times a day for at least 21 days while being on the waitlist for psychological care for CRF. We performed a multi-level vector autoregression analysis to examine the interconnectedness among fatigue, protective factors (allowing rest, acceptance, and self-efficacy) and perpetuating factors (worrying, catastrophizing, and feeling guilty). Results: In the contemporaneous network (concurrent associations), higher acceptance and self-efficacy were associated with lower fatigue, whereas all other factors were associated with higher fatigue. The strongest relationships were between worrying and feeling guilty and between acceptance and allowing rest. In the temporal network (lagged associations), fatigue was related to two factors: higher self-efficacy preceded lower fatigue, and higher fatigue preceded increased allowing rest. Conclusions: Taking all included factors into account, the networks identified self-efficacy and allowing rest as key protective factors of CRF. Patients may benefit from psychological interventions that cultivate self-efficacy, as it seems to pave the way to reduced fatigue.